TensorFold vs vLLM for GLM-5.3-Flash FP8: what the new engine actually is, and whether its speedups can move a 4x DGX Spark ring

Calendar October 6, 2026
Dgx-Spark, Tensorfold, Vllm, Glm, Inference, Exl3, Fp8, Speculative-Decoding
TensorFold’s headline GLM gains come from EXL3-trellis kernels and a lane scheduler that are quantization- and topology-specific — upstream CUDA is 10 days old, TP2-only, and one-request-at-a-time for GLM. For an FP8 checkpoint on TP4-over-switchless-ring with DFlash2 + SparkCache, the verdict is pass-and-watch; the one transferable idea is latent FP8 KV.